When and Why to Use

Use this when you need a numeric input within a defined range. It's best for:

• Age, year, count, or frequency questions
• Questions that require range-based recoding (e.g. age bands)
• Validating attention checks with specific values

Supports optional recoding and validation logic.

Chat Experience

• Respondent is shown a numeric input with increment/decrement buttons.
• Range boundaries are visible.
• If input is outside the range or invalid, an error message appears inline.

With an image	Without an image

Traditional Experience

• Same as chat, but with more space for contextual text or images.
• Navigation and focus-friendly for web-based interactions.

With an image	With markdown	Mobile optimized

Configuration Options

Option	Type	Required	Default	Description
question	string	yes	-	The prompt shown to the user
image	MediaItem	no	-	Optional image from s.media
min_max	Tuple[int, int]	no	(1, 100)	The valid numeric range for answers
default	string	no	random between range	Default test data for QA
recodes	dict[str, str]	no	-	Map ranges or percentages to buckets
custom_validator	`Callable[[str], str	None]`	no	-
tags	s.tag()	no	-	Used to fill tokens in text and for reporting groupings

Example Code

Simple numeric:

s.numeric_question("What year were you born in?", min_max=(1900, 2024))

With recodes:

s.numeric_question( "How old are you?", min_max=(18, 100), recodes={ "18-25": "18-25", "26-54": "26-54", "55-74": "55-74", "75-100": "75+" } )

With percentage-based recodes:

s.numeric_question( "How many times have you visited our website?", min_max=(0, 100), recodes={ "0-30%": "Low", "31-70%": "Medium", "71-100%": "High" } )

With custom validator:

s.numeric_question( "How old are you?", min_max=(0, 120), custom_validator=lambda x: "Are you sure that you're 150 years old?" if x > 150 else None )

Recoding Numeric Responses

Sometimes it’s useful to group numeric values into labeled categories — for instance, turning income ranges into brackets like “Low”, “Middle”, and “High”. You define a set of rules that map numeric ranges to labels. Supported formats include:

1. Fixed Ranges (e.g. "0-49" → "Low")
2. Percentage Ranges (e.g. "0-25%")→ Interpreted relative to a known min and max.
3. Open-ended Ranges (e.g. "80+")→ Interpreted as “80 and above”.

Example 1: Satisfaction Score (0–100)

_recodes = { "0-25%": "Very Dissatisfied", "25-50%": "Dissatisfied", "50-75%": "Satisfied", "75-100%": "Very Satisfied" }

This scales the numeric value based on known min/max and assigns the appropriate label.

Example 2: Age Brackets

_recodes = { "0-17": "Underage", "18-64": "Adult", "65+": "Senior" }

In this case, "65+" means any value 65 or greater gets labeled "Senior".

What If No Match?

If the value doesn’t fall into any defined range, the original number is returned unchanged.